Capgemini

Global consulting, technology services, outsourcing

Technical Architect

AI Application EngineeringUpdated on Nov 14

Full-timeMumbai, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

A Master’s degree in Computer Science, Engineering, Data Science, or a related field is required; a Ph.D. is preferred.
At least 6 years of experience in enterprise architecture and solution delivery, with a strong focus on machine learning and Generative AI.
A proven track record designing and deploying AI-powered solutions at scale in client-facing environments.
Deep expertise in Agentic AI frameworks, including LangChain, LangGraph, and Semantic Kernel, and LLM-based services.
Hands-on experience with Azure AI, OpenAI, and multi-cloud ecosystems, including AWS, Azure, and GCP.
Strong knowledge of CI/CD, Docker, Kubernetes, and microservices architecture.
Excellent communication, stakeholder engagement, and team leadership skills.
Exposure to industry-specific Generative AI use cases, such as SAP, Salesforce, Finance, and Supply Chain.

Responsibilities

Lead the development and implementation of enterprise-wide machine learning and Generative AI/Agentic architectures, ensuring they are scalable, secure, and aligned with business goals.
Lead end-to-end development and deployment of Generative AI/Agentic initiatives, from ideation and proof of concept through deployment and scaling.
Identify opportunities for innovation and lead the creation of reusable Generative AI/Agentic assets, accelerators, and frameworks.
Oversee deployment of Generative AI/Agentic models across platforms, ensuring operational efficiency and compliance.
Develop and implement strategies for continuous integration and delivery of AI solutions, optimizing performance and maintainability.
Establish and enforce governance policies, standards, and best practices for AI architecture and deployment, ensuring adherence to data privacy and ethical guidelines.
Mentor and lead a technical team and architects, fostering a culture of innovation and excellence.
Collaborate with business stakeholders to translate requirements into scalable AI solutions and drive adoption.

Desired Qualifications

A Ph.D. is preferred.

Your Role

We are seeking a highly experienced Gen AI / Agentic Solution Lead responsible for shaping, designing, and delivering enterprise-scale Agentic AI solutions across IFAO/ ICO/ISCO Business Services. This role blends deep technical expertise in AI/ML with strong business acumen to drive innovation, reusability, and scalable deployments across multiple platforms and industries You will be leading cutting-edge AI solutions that drive business value and operational excellence.

Master’s degree in Computer Science, Engineering, Data Science, or related field (Ph.D. preferred).
6+ years of experience in enterprise architecture and solution delivery with a strong focus on ML and Generative AI.
Proven track record in designing and deploying AI-powered solutions at scale in client-facing environments.
Deep expertise in Agentic AI frameworks (LangChain, LangGraph, Semantic Kernel) and LLM-based services.
Hands-on experience with Azure AI, OpenAI, and multi-cloud ecosystems (AWS, Azure, GCP).
Strong knowledge of CI/CD, Docker, Kubernetes, and microservices architecture.
Excellent communication, stakeholder engagement, and team leadership skills.
Exposure to industry-specific Gen AI use cases (SAP, Salesforce, Finance, Supply Chain, etc.).

Your Profile

Lead the development and implementation of enterprise-wide ML and Gen AI/Agentic architectures, ensuring they are scalable, secure, and aligned with business goal.
Lead the end-to-end development & deployment of Gen AI/Agentic initiatives, from ideation and PoC to deployment and scaling.
Identify opportunities for innovation and lead the creation of reusable Gen AI/Agentic assets, accelerators, and frameworks.
Oversee the seamless deployment of Gen AI/Agentic models across platforms, ensuring operational efficiency and compliance.
Develop and implement strategies for continuous integration and delivery of AI solutions, optimizing for performance and maintainability.
Establish and enforce governance policies, standards, and best practices for AI architecture and deployment, ensuring adherence to data privacy and ethical guidelines.
Mentor and lead a technical team and architects fostering a culture of innovation and excellence.
Collaborate with business stakeholders to translate requirements into scalable AI solutions and drive adoption.

What you 'love about working here

You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size: 10,001+
Company stage: IPO
Headquarters: Paris, France
Founded: 1967

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